AI & machine learning

Generative AI workflows: submit jobs, run AI recipes, manage blobs, funds and model resources

Browser automation: run AI agents and tasks, manage runs, schedules, sessions, profiles and credentials

LLM gateway: call 100+ models via OpenAI-format chat, embeddings and audio, with keys, teams and usage tracking

Hosted AI agents and sandboxes: deploy, run and wire agents to messaging, email and billing

AI generation: create images, video, 3D models and audio, plus enhance and upscale media

AI model proxies, file storage, and auth: OpenAI and Anthropic calls, uploads, and monid runs

Cloud infrastructure simulation: run, optimize and explain cloud deployments, plus RL training environments

AI agents: manage agent workspaces, tools, scheduled tasks and conversation invocations

AI services: manage architectures, applications, models, workers, datasources and catalog bundles

LLM platform: manage agents, knowledge bases, datasets, evals, prompts, traces and logs

AI model access: chat and content generation, plus async image, video, audio and text tasks

AI chatbots: build bots, manage conversations, datasets, spaces and channel integrations

Agents and skills: manage agent directories, mindsets, library syncs, integration access and skill catalogs

Platform API for workspaces, datasets, model gateways, robots, SCIM users and usage billing

Agents, sessions, files, memory and tasks: manage long-lived AI agents and their conversations over HTTP

Desktop AI backend: WorkOS sign-in, credit-gated LLM, voice, search and connector OAuth calls

AI inference, file uploads, video generation and request logs via an OpenAI-compatible API

Recursive language model sessions: run agent turns, workspace files, memory, and experiments

Memory for AI agents: store under a user_id, recall with one call, and track speakers

AI model gateway: chat, embeddings, images, audio, video, batches and files via OpenAI- and Anthropic-style endpoints

AI agent platform: run agents, automations, threads, logs, dashboards and connected accounts

Memory platform: store and recall AI memories, manage workspaces, contexts, users and OAuth sign-in

AI agent execution: manage agents, API keys, workspace files, trials, and OAuth apps

Data annotation: create projects, label tasks, review annotations, manage storage and ML backends